Responsible AI (BSAN7210)
Information valid for Semester 1, 2024
Course level
Postgraduate Coursework
Faculty
Schools
Business School, Historical & Philosophical Inq, Law School
Units
2
Duration
One Semester
Attendance mode
External
Class hours
General contact hours 3 Hours/ Week
Recommended prerequisite
BSAN7205
Restricted
Restricted to students enrolled in the MBusAn program
Course enquiries
Course description
Gathering, understanding, interpreting and making decisions based on collected data is an invaluable tool for business. However, concerns about privacy, consent, confidentiality, discrimination, ownership, commercialisation, intellectual property and the importance of fair benefit sharing need to be considered. Consideration is also required by those who access and make decisions about collected linked personal information. In this course students will critically analyse the ethical and legal foundations of data analytics governance that are relevant to data collection, storage, integration, exchange and access. Issues covered will include the ethical dimensions of data management, legal and regulatory frameworks in Australia and in relevant jurisdictions, data policy, data privacy, data ownership, legal liabilities regarding analytical decisions, and discrimination. The course will equip students to apply ethical and legal considerations to the core processes of business analytics.
Archived offerings
Course offerings | Location | Mode | Course Profile |
Semester 1, 2024 (19/02/2024 - 15/06/2024) | External | External | Profile unavailable |
Semester 2, 2022 (27/06/2022 - 20/08/2022) | External | Web Based | Profile unavailable |